Lead Software Engineer - AI (Backend - Golang)

In this role, you will design, build, and scale high-performance backend systems and cloud-native platforms using Golang and modern distributed systems technologies. You will work on engineering complex, data-intensive products that directly create measurable value for enterprise customers. Your work will involve building scalable APIs, distributed services, event-driven systems, reliable data pipelines, and high-throughput backend components that support AI-native SaaS products. You will also contribute to architectural decisions, system design, performance optimization, and engineering best practices across the platform.

Responsibilities:

• Provide technical leadership for backend engineering initiatives and projects.
• Own the architecture and design of large-scale distributed systems.
• Create and review High-Level Design (HLD) and Low-Level Design (LLD) documents.
• Drive architecture decisions balancing scalability, reliability, security, and cost.
• Lead design reviews, architecture reviews, and technical governance processes.
• Mentor and coach engineers across multiple experience levels.
• Establish engineering best practices, coding standards, and development guidelines.
• Perform thorough code reviews and ensure code quality across teams.
• Partner with product managers, architects, QA, DevOps, and stakeholders to deliver business outcomes.
• Drive technical roadmap planning and technology adoption decisions.
• Lead performance optimization, reliability improvements, and production readiness reviews.
• Own incident management, root cause analysis, and preventive action planning.
• Champion observability, monitoring, logging, tracing, and operational excellence.
• Guide capacity planning, resiliency strategies, and disaster recovery planning.
• Support hiring, technical interviews, onboarding, and team development initiatives.

Requirements:

• Expert-level proficiency in Go (Golang).
• Strong expertise in data structures, algorithms, and system design.
• Hands-on experience creating High-Level Designs (HLD) and Low-Level Designs (LLD).
• Deep understanding of distributed systems, microservices, and event-driven architectures.
• Advanced knowledge of concurrency, scalability, and fault-tolerant system design.
• Strong expertise in API design (REST, gRPC) and integration patterns.
• Experience with cloud-native architectures, Kubernetes, containers, and CI/CD pipelines.
• Strong knowledge of observability, monitoring, logging, and distributed tracing.
• Excellent mentoring, stakeholder management, and technical leadership skills.
• Ability to influence architectural decisions and drive engineering excellence across teams.